A model to classify a piece of news as REAL or FAKE

Last update: Jan 29, 2022

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Overview

Fake_news_classification

A model to classify a piece of news as REAL or FAKE. This python project of detecting fake news deals with fake and real news. Using sklearn, I build a TfidfVectorizer on the dataset. Then I Initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.

Result

So with this model I get a Accuracy of 92.82%.
With confusion matrix I get 590 true positive, 586 true negative, 48 false positive and 43 false negative.

Owner

Gokul Stark

I am a BCA Data Science student from Crescent Institute Of Science And Technology, I am looking for internship opportunities. working on small projects.

GitHub Repository

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A model to classify a piece of news as REAL or FAKE

Related tags

Overview

Fake_news_classification

Result

Owner

Gokul Stark

【CVPR 2021, Variational Inference Framework, PyTorch】 From Rain Generation to Rain Removal

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Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

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